Training deep learning networks with photo-realistic virtual data created using game development engines has the potential to streamline the learning process and make deep learning solutions ...

NVIDIA has launched its new Nsight Deep Learning Designer 2021.1 SDK specifically created for efficient deep learning model design and development.

Researchers propose a deep neural network-based forward design space exploration using active transfer learning and data augmentation ...

The Deep Network Designer (see figure) provides a way to use pretrained models including SqueezeNet, Inception-v3, ResNet-101, GoogLeNet, and VGG-19, as well as developing new models.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Using artificial intelligence and deep learning, researchers have developed a neural network that 'hallucinates' the structures of new protein molecules. The scientists made up completely ...

Deep learning, aka deep networks, can be useful—but it has limitations.

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...